Matplotlib Histogram | Beginners Tutorial on Visualising Well Log & Petrophysics Data Using Python

Veröffentlicht am: 21 Juli 2021
auf dem Kanal: Andy McDonald

5,950

192

Histograms are a great tool for exploratory data analysis. They allow us to view the distribution of the data values and identify key interpretation parameters.

In this video, I cover what a histogram is and how to create one using matplotlib, a common Python data visualization library.

Chapters:
0:00 Introduction
0:20 What are histograms?
1:27 Creating Histograms in Jupyter Notebook
1:51 Importing Libraries and LAS Data
4:20 Creating a Histogram Using Pandas
5:35 Creating a Histogram Using Matplotlib
6:45 Customising the Histogram
8:45 Calculating Statistics and Adding them to the Histogram
10:42 Summary

The notebook for this video can be found on my GitHub repository at: https://github.com/andymcdgeo/Andys_Y...

Libraries used in this video:
LASIO: https://lasio.readthedocs.io/en/latest/
pandas: https://pandas.pydata.org
matplotlib: https://matplotlib.org

If you have enjoyed this video and want to say thanks, feel free to buy me a coffee at the following link: https://buymeacoffee.com/andymcdonaldgeo

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FUNDAMENTALS OF PETROPHYSICS
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WELL LOGGING FOR EARTH SCIENTISTS
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GEOLOGICAL INTERPRETATION OF WELL LOGS
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  / andymcdonaldgeo
  / geoandymcd
  / andymcdonaldgeo
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#matplotlib #petrophysics #python #histograms #welllogs #jupyternotebooks #geoscience

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